eChapters

Development of the face includes the development of orbital, nasal and oral regions. Development of face involves five facial primordia during the embryonic period of development. These primordia include the single frontonasal prominence and the paired maxillary and mandibular prominences.

The frontonasal prominence forms two sets of bilateral ectodermal thickenings, the nasal and lens placodes. Frontonasal prominence shows nasal component (of ridges) and a frontal component. A thickned area of ectoderm olfactory/ nasal placode appears at the medial tips of frontonasal prominence.

Artificial intelligence offers practical solutions to agricultural problems associated with population growth, food demand, climate change and limited natural resources. This chapter introduces machine learning, deep learning, computer vision and natural language processing, together with enabling technologies such as IoT, remote sensing and cloud computing. It explains their applications in crop monitoring, disease recognition, yield forecasting, irrigation, soil assessment and livestock management. AI can improve decision-making, resource efficiency, automation and precision farming while reducing reliance on manual labour. The chapter also examines adoption barriers, including high costs, limited digital literacy, data-security concerns and weak rural infrastructure, and considers future developments in autonomous and climate-resilient farming.

Plant hormones - They are defined as:

1. Small
2. Organic compounds;
3. Synthesized by the plant;
4. Active in low concentration (<10^-6);
5. Promote or inhibit growth and developmental responses;
6. Often show a separation of the site of production and the site of action (although this isn’t as clear a distinction as in animals).

Based on these criteria, would the following substances be considered hormones? Ca²⁺, sucrose, 2 4 - D, glycine, or K⁺?

Artificial intelligence can detect subtle changes in animal health before they become apparent through conventional observation. This chapter examines machine learning, deep learning and predictive analytics for livestock disease prediction and diagnosis. Models use physiological signals, diagnostic images, behaviour patterns, environmental conditions and historical records to recognize abnormalities and estimate disease risk. Wearable sensors and IoT devices enable continuous monitoring and early-warning systems, supporting preventive veterinary care and outbreak management. AI-based detection can reduce mortality, treatment costs and production losses while improving decision-making. The chapter also evaluates challenges involving inconsistent data, model interpretability, rural infrastructure, technical accessibility and the practical implementation of diagnostic systems.

Animal behaviour provides valuable information about health, welfare, reproduction, environmental adaptation and social interaction. Traditional observation is labour-intensive, time-consuming and vulnerable to observer bias. This chapter explains how machine learning automates behavioural analysis using video, sensor and bioacoustic data. It covers preprocessing, feature extraction, classification, clustering and recurrent neural networks for temporal analysis. Computer-vision techniques—including object detection, tracking and pose estimation—enable continuous and non-invasive monitoring. Case studies demonstrate applications in livestock management, wildlife conservation and laboratory research. The chapter also examines data labelling, model generalization, ethics, explainable AI, real-time processing and the integration of multiple behavioural data sources

Digital dairy farming integrates IoT, artificial intelligence, machine learning, big-data analytics, cloud computing, sensors and automation to improve herd management. This chapter explains how wearable devices and monitoring systems support early disease detection, welfare assessment, milk-yield analysis and precision feeding. Automated milking, feeding and other operations reduce manual labour, improve consistency and lower operating costs. The architecture of smart dairy systems—including sensors, wireless communication and decision algorithms—is examined alongside environmental and economic benefits. Barriers include high initial investment, limited digital skills, poor rural connectivity and cybersecurity risks. Future developments may include AI-enabled autonomous dairy farms and interconnected, sustainable agricultural ecosystems.

Robotics is transforming livestock production by automating repetitive, labour-intensive and precision-dependent operations. This chapter examines automated milking, robotic feeding, manure removal, health monitoring, drones and autonomous herd-management systems across dairy, poultry, swine and sheep production. Integration with AI, IoT and sensors creates connected environments capable of continuous monitoring and data-driven action. Benefits include higher productivity, lower labour requirements, timely animal care and more efficient resource use. Challenges include substantial investment, technical complexity, maintenance and farmer acceptance. Emerging developments such as autonomous farms, swarm robotics, solar-powered equipment and climate-smart robotic systems may further strengthen animal welfare, environmental sustainability and global food security.

Introduction

Training is the crucial and expensive component of HRD, intended to improve the efficiency and effectiveness of performance of the members of organization through planned learning efforts, transfer of such learning at work place and in turn improvement of the organizational performance. Given such objectives, most of the training programmes fail to inculcate the transfer component in trainees (Subedi 2004). Hence, there is an increasing concern over training transfer at work place and the resultant improved organizational performance in terms of productivity, efficiency, effectiveness and turn over etc (Howard 1995, Huselid 1995, Martocchio and Baldwin 1997 and Salas et al.. 2000, Thayer1997).

The thoracic cavity (Fig. 3-3 A, B and C) contains lungs and pleura, the heart and pericardium, the great vessels connected with the heart (the aortae, azygos veins and venae cavae), the oesophagus, trachea, the lymph nodes, vessels, nerves and lymphatics. All of these contents except the lungs and pleural sacs are located in the mediastinum, while the lungs along with the pleural sacs are situated on either sides of the mediastinum.

Lungs

The right and left lungs (Fig. 3-3 A and B) are paired organs which occupy greater space of the thoracic cavity. Each lung is enclosed in a double layered bag of serous membrane called the pleural sac. The right lung is larger, almost double in size than the left one. The difference in size is mainly due to an additional lobe called the intermediate lobe and the greater size of an apical lobe of the right lung. Each lung is divided into different lobes formed by deep fissures extending from the ventral border to almost the area of the root of the lung. Each lung is soft, light weighted, spongy and elastic. The surface of the lung is smooth and glistening and it is mapped out into irregular areas indicating the lobules of the lungs. In the fresh, unpreserved cadaver the lung collapses to about one third of its original size and looses its normal shape. The colour in fresh state is pink, in bled animals it is pale grey and in unbled animals it is dark red. In embalmed specimens, the outer surface of the lungs is marked by the imprints of other organs and structures that are related to lungs in the thoracic cavity.

Partitioning of Energy in Livestock

Energy Partitioning

Partitioning of energy involves loss and distribution of feed energy into different body functions.

Gross energy is calculated from the heat produced when a sample of feed or feces is subjected to complete combustion in a bomb calorimeter under a pressurized oxygen atmosphere.

Apparent digestible energy is the difference between the gross energy of the feed consumed and the gross energy of the feces excreted. Digestion is accompanied by the production of gases in both fore- and hindgut and by the urinary excretion of metabolites.

Metabolizable energy is the difference between digestible energy and energy lost to gases and urine. Metabolic processes and physical activity produce heat (heat of production) which may warm the animal in cold weather. In hot weather, energy may be required to expel excess heat of production, through panting and increased respiratory rate.

Net energy is the remaining energy available for maintenance, reproduction and production. The diagram on the left illustrates energy partitioning for a particular cow near the end of her lactation. Energetic efficiency of this cow is about 29%, expressed as output in the form of milk, gain and fetal growth divided by gross energy input. Although their energy requirements are significantly greater, higher producing cows are also more energetically efficient.

r DNA Biotechnology
    
Concept of r DNA
    
DNA Preparation from Tissue
    
Reagents
    
Preparation
    
DNA Buffer (Tris-EDTA)
    
RNase A (20 mg/ml)
    
Toe DNA Preparation for Southern Blots
    
Southern Blot
    
PCR
    
Polymerase Chain Reaction
    
The Cycling Reactions
    
Denaturation at 94°C
    
Annealing at 54°C
    
Extension at 72°C
    
DNA Sequencing
    
The Sequencing Reaction
    
Denaturation at 94°C
    
Annealing at 50°C
    
Extension at 60°C
    
Separation of the Molecules
    
Detection on An Automated Sequencer
    
Assembling of The Sequenced Parts of a Gene
    
Freezing of Buffalo Semen (Jindal, 1995)
    
Tissue Culture
    
Preparation of Media
    
Laboratory Procedure for IVF (Kharche et al., 2008)
    
Source of Oocytes
    
Preparation of Estrous Goat Serum
    
Collection of Oocytes
    
Laparoscopic Ovum Pick-up
    
Oocyte Retrieval from Ovaries Collected form Slaughter 
    
House
    
Slicing Technique
    
Follicle Puncture Technique
    
Follicle Aspiration Technique
    
Follicle Isolation Technique
    
Evaluation of Oocytes
    
In vitro Maturation of Oocytes
    
Preparation of Cells for Co-culture
    
Assessment of Nuclear Maturation After in vitro Maturation of Oocytes
    
Analysis of Nuclear Status is Ascribed to One of the Following
    
Sperm Preparation for in vitro Fertilization of Oocytes
    
In vitro Fertilization of Oocytes
    
Assessment of in vitro Fertilization of Oocytes
    
Assessment of Cleavage
    
In vitro embryo culture

Heart of bovine, caprine, equine, canine and feline is a four chambered organ having left and right atrium, left and right ventricles, mitral valve, tricuspid valve, aortic valve, pulmonary valve, arteries, arterioles, veins and venules. Heart starts its functioning even before birth and continues till death. Its pumping action helps in providing nutrients as well as oxygen to all organs and parts of the body and to remove the waste products of the metabolism from the different organs of the body. Malfunctioning of the heart (pumping action and /or current generation and conduction) adversely affects nutrient and oxygen availability to organs and removal of waste products from the body lowering the quality of life and making the survival reasonably difficult. Heart functioning can be examined through physical examination of the heart such as general inspection (looking for abducted elbow, jugular distension or pulse, edema of ventral abdomen or limbs, tachypnea /dyspnea), evaluations of vitals (temperature, pulse, respiration,

Livestock farming is an integral part of crop farming and contributes substantially to household nutritional security and poverty alleviation through increased household income. Indian agriculture is an economic symbiosis of crop and livestock production with cattle as the foundation. Dairy animals produce milk by converting the crop residues and by products from crops which otherwise would be wasted. Dairy sector contributes by way of cash income, drought power and manure. Livestock provides for human needs by way of food, fibre, fuel, fertilizer, skin and traction. India has the largest livestock populations in the world. It has 57 per cent of the world’s buffalo population and 16 per cent of the cattle population. It ranks first in respect of cattle and buffalo population, third in sheep and second in goat population in the world. 70 per cent of the livestock are owned by 67 per cent of small and marginal farmers. 76 per cent of the milk is produced by weaker sections of society. Out of total livestock in the country, 37.28 per cent are cattle, 21.29 per cent are buffaloes, 12.71 per cent are sheep, 2640 per cent are goats and only 2.01 per cent are pigs. All other animals are less than 0.37 per cent of the total livestock. The species-wise breakup of livestock population in India (Table 16.1)

“Terra”per se is an extraordinarily complex, messy geophysical system with dozens of variables, most of which change in response to one another. The basic proposition behind the science of climate change is also rooted in the floral and faunal cohabiting with the Homo sapiens. Livestock and related fodder cultivation and the green waste generated in a farming enterprise are of extreme significance when we ponder over the climate change. Confusion and complacency reigns the thinking process and planning process related to climate change. Confusion in the sense, that risk communication in this regard is so placid. Complacency, we say due to the lackadaisical attitude of our policy makers. To make it very plain, fodder production sector as well as farm sector will suffer the most in Kerala for want of scientific thinking, planning and execution.

Livestock have the potential to be transformative; by enhancing food and nutrition security and providing the income to pay for education and for other needs, livestock can transform lives of many (Jimmy Smith et al., 2013). The projected growth of population is 9.6 billion in the year 2050 from the current population of 7.2billion (Gerber et al, FAO, 2013). The world demand for milk and meat in 2050 is expected to expand 58 and 73% respectively from their demand levels in 2010 (FAO, 2011). Nevertheless, the growth animal agriculture is not on par with the demand. Today, in a world of limited resources, in the face of climate change and a rising world population, a major issue is global food security (Augustine et al 2013). The key inferences of the latest approved summary for policymakers by the IPCC (2013) on climate change are 1). Warming of climate system is unequivocal and will continue beyond 2100. Global surface temperature change for the end of the 21st century is expected to exceed 1.5°C relative to 1850 to 1900 for almost all RCP scenarios 2). It is very likely that frequency of heat waves and heavy precipitation events have increased 3).

Foot-and-Mouth Disease

Loeffler and Frosch in 1897. Apthovirus of Picornaviridae. Strain O, A, C, Asia-1, SAT-1, 2, 3.

Cattle as Indicator host, Pig as amplifier, Sheep as maintenance host.

Musculature of heart in calves will have striped appearance termed as TIGER HEART.

Panting is common feature or sequel following FMD due to disturb endocrine function.

Preferred cell line for virus isolation in BHK-21.

Climate change has become a global threat as its impact is evident on the Earth. In the coming decades,the severity of climate change is expected to aggravate the ecosystem. Due to its vulnerable ecosystem and geographical location, the North eastern region (NER)of India that is home to about 40 million people is considered as one of the most climate sensitive areas in the country. The NER is among India’s least developed region andscarce information is available on the impact of climate change in this region. However, initial scientific research and field observations confirm that the region is suffering from the impacts of climate change already. The region comprising 0.26 million km2area occupying 8% of nation’s territoryconsists of the states of Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim. These states consist of a part of the east Himalayan region, which extends eastwards from Arunachal Pradesh to the Darjeeling hills of West Bengal. The entire region is a part of Indo-Burma and Himalayan hotspots i.e. characterized by rich biodiversity, heavy precipitation and high seismicity.

1. Introduction: Setting the Stage for GLP in Artificial Insemination
Artificial Insemination (AI) stands as a cornerstone technology in modern animal agriculture, playing a pivotal role in the genetic enhancement of livestock across a diverse range of species. This technique, particularly prevalent in cattle and swine, allows for the widespread dissemination of superior genetic traits from carefully selected sires, leading to significant improvements in productivity, such as increased milk yield in dairy cattle and enhanced growth rates in beef cattle. Beyond genetic advancement, AI offers considerable advantages in disease management by mitigating the risks associated with natural mating, thereby controlling the transmission of reproductive tract infections. Furthermore, AI provides economic benefits to livestock producers by reducing the need to maintain live bulls, which require substantial resources, and by offering access to a broader spectrum of genetics than would be feasible through natural service alone. The application of AI is not limited to traditional livestock; it is increasingly employed in the breeding of horses and smaller ruminants, as well as in the management of pet populations, indicating its growing importance in animal reproduction across various sectors. The expanding scope of AI underscores the necessity for robust quality control measures to ensure its efficacy and safety across different animal species and production systems. The success of any AI program is intrinsically linked to the quality of the semen used, making the operational standards of AI laboratories paramount. Optimal conception rates rely on semen with high viability, motility, and morphological integrity, which can be compromised by inadequate handling and unsanitary 130 Concepts of Good Laboratory Practices (GLP) conditions during collection, processing, storage, and insemination. Poor semen management can lead to reduced fertility and the potential spread of diseases, thereby undermining the benefits of AI. To ensure consistent and successful outcomes, standardized procedures throughout the AI process are essential, providing a framework for optimizing techniques and minimizing the risk of errors. In this context, Good Laboratory Practices (GLP) emerges as a critical quality paradigm. Defined as a managerial quality control system, GLP encompasses the organizational processes and the conditions under which non-clinical health and environmental safety studies are planned, performed, monitored, recorded, archived, and reported. While traditionally applied to the safety testing of chemicals and pharmaceuticals, the core principles of GLP, with their emphasis on systematic processes, controlled conditions, and rigorous data management, hold significant relevance for ensuring the quality and reliability of operations within animal AI laboratories. The genesis of GLP regulations in response to concerns about the integrity and consistency of scientific data further underscores its fundamental importance in any laboratory setting where the trustworthiness of results is paramount. This report aims to provide a comprehensive analysis of the GLP paradigm within the context of animal AI laboratories. Its objectives include defining GLP and its core principles, investigating the specific application of these principles in the various stages of animal AI, exploring the benefits and challenges associated with GLP implementation, reviewing relevant regulatory guidelines and standards across different regions, analyzing the impact of GLP adherence on AI techniques and outcomes, identifying effective data representation strategies, comparing the operational differences between GLP and non-GLP compliant laboratories, and discussing emerging trends and future perspectives on the role of GLP in advancing the field.

The climatic changes and global warming may impact the economic viability of livestock production systems in a significant manner. The possible consequences of increased ambient temperature on the livestock include reduced feed intake, reduced weight gains, lower milk production and lower conception rates during summer periods. Though animals can, to some extent, adapt to higher temperatures with prolonged exposure, the production losses are likely to be exhibited in response to higher temperature events. However, potential direct and indirect impacts of climate change on livestock production have not yet been thoroughly explored. Changes in availability and quality of fodder have also been identified as one of the major impacts of climate changes leading to lowered productivity of livestock species. Climate change could also affect the distribution of vector-borne livestock diseases. These changes occur as a result of shifts in the geographical ranges of ticks, mosquitoes, flies and other vectors.